Junior Data Scientist/Quant Developer

Job Description

With the acquisition of OTAS Technologies in 2017 and our continued global evolution, Liquidnet is expanding its technology and quant team to build disruptive new products to further revolutionize trading and investing. Our products are used by the largest investment firms globally, and we are recognised as an industry-leading innovator in big data analytics, AI and machine learning.

We are a dynamic, technology-driven, and highly productive team of quants, developers and product designers. Deep collaboration with our clients and partners is key, and we benefit from great relationships with the most ground-breaking firms in the asset management industry, who help us to constantly push the limits of technology and analytics.

We have a track record of hiring amazing people and giving them (industry veterans and recent grads alike) autonomy and responsibility from the start. You’ll have the best tools and resources available to get the job done, and thrive in a collaborative environment where our teams are passionate about building great things.

The right candidates will have both a strong mathematical background, and be highly adept technologically.

2+ years of relevant experience OR recent Master’s or PhD grad in Computer Science, Mathematics or related field.

Proficiency in a mainstream programming language, such as Python, C/C++, C#, Java, JavaScript, Haskell or similar.

A strong foundation in a STEM/numeric discipline.

Familiarity with software development practices such as version control (git), test frameworks, code review tools, deployment configuration management, continuous integration.

Experience with machine learning libraries/frameworks and methods

Excellent communication skills and team orientation

About Liquidnet

Liquidnet is the global institutional trading network that more than 930† of the world’s top asset managers trust to execute their trades in size. Our scale of liquidity and investment opportunities span 45 markets and 5 continents.†† It’s why institutions turn to Liquidnet when they need to execute trades with maximum anonymity and minimum price movement.